R in Action: Data analysis & Graphics With R And Tidyverse 3rd Edition by Robert I. Kabacoff (Author)

Publisher: COMPUTER SCIENCE

Availability: In Stock
SKU: 53683
Number of Pages: 656

Rs.1,290.00

Rs.1,650.00

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Description

"R in Action: Data Analysis & Graphics With R And Tidyverse 3rd Edition" authored by Robert I. Kabacoff is a comprehensive guide that unlocks the power of R programming language for data analysis and visualization. With an emphasis on practical application, this edition equips both beginners and seasoned data professionals with essential skills and techniques to navigate through the complexities of data manipulation, analysis, and visualization.

In the first part of the book, readers are introduced to the fundamentals of R programming language, providing a solid foundation for understanding its syntax and core functionalities. From basic data types to advanced data structures, Kabacoff systematically guides readers through the essentials, ensuring a smooth transition into more complex concepts. The book then delves into the application of Tidyverse, a collection of R packages designed for efficient data manipulation and visualization. Through step-by-step examples and hands-on exercises, readers learn how to harness the power of Tidyverse to streamline their data analysis workflows, making tasks such as data cleaning, transformation, and visualization more intuitive and efficient. Whether you're a novice looking to get started with R or an experienced practitioner seeking to enhance your skills, "R in Action" offers a comprehensive resource packed with practical insights and real-world examples to help you master the art of data analysis and visualization using R and Tidyverse.

Key Points:

Comprehensive coverage of R programming language fundamentals.
Practical guidance on leveraging Tidyverse for efficient data manipulation and visualization.
Hands-on examples and exercises to reinforce learning.
Real-world applications and case studies illustrating the power of R in data analysis.
Suitable for both beginners and experienced data professionals seeking to enhance their skills.

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Writer ✤ Robert I. Kabacoff (Author)

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